code: def test_mmdet_mask_models_fastai(mask_dls_model):
      train_dl, valid_dl, model, model_type = mask_dls_model
  
      learn = model_type.fastai.learner(
          dls=[train_dl, valid_dl],
          model=model,
          splitter=fastai.trainable_params,
      )
      learn.fine_tune(1, 3e-4)
  
file_path: icevision/tests/models/mmdet/test_model.py
imports: import pytest
  import random
  from icevision.all import *
label_desc: Use image node_id 2 for calling a global function with example usage: test_mmdet_mask_models_fastai(mask_dls_model) without return types